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Numerically-controlled machine tool component importance analysis method

A technology of importance analysis and CNC machine tools, which is applied in program control, computer control, general control systems, etc., and can solve problems such as deviation of component importance models

Inactive Publication Date: 2017-04-26
JILIN UNIV
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  • Abstract
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Problems solved by technology

[0005] Aiming at the defects in the existing technology that the component failure rate model established by ignoring the component failure time correlation of the CNC machine tool system or the fault propagation direction leads to deviations in the component importance model, the present invention provides a fault that considers the component failure time correlation and the fault propagation direction The failure rate modeling and importance analysis method of CNC machine tool components under rate correlation, using this method to analyze the importance of CNC machine tool system components, is more in line with reality

Method used

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  • Numerically-controlled machine tool component importance analysis method
  • Numerically-controlled machine tool component importance analysis method
  • Numerically-controlled machine tool component importance analysis method

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Embodiment

[0150] Importance Analysis of NC Machine Tool Components

[0151] Fault analysis was carried out on 13 related fault data collected from 5 CNC machine tools, and it was found that a total of 7 components had related faults. The analysis of the related fault information of the 7 components of the CNC machine tool is shown in Table 1.

[0152] Table 1 Analysis table of associated faults of CNC machine tool system components

[0153]

[0154] According to the impact relationship of associated faults between components in Table 1, the direct relationship matrix Y is obtained as:

[0155]

[0156] According to the formulas (2) and (3), the standardized matrix X and the comprehensive influence matrix T are respectively obtained as:

[0157]

[0158]

[0159] Through calculation, the influence degree, affected degree, central degree and cause degree of each component are obtained, as shown in Table 2.

[0160] Table 2 Influence degree, affected degree, central degree, c...

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Abstract

The invention belongs to the field of a numerically-controlled machine tool and relates to a numerically-controlled machine tool component importance analysis method. The method comprises the following steps: 1) establishing correspondence relation between components and fault time and between-component fault transfer relation; 2) carrying out analysis and establishing component transfer relation, and describing the numerically-controlled machine tool system component fault transfer relation through a matrix; 3) converting the fault transfer relation into a fault transfer hierarchy structure model, and determining the level of each system component in the fault transfer model; 4) carrying out numerically-controlled machine tool system component fault rate modeling based on time correlation; 5) calculating numerically-controlled machine tool system component fault correlation coefficient; 6) carrying out numerically-controlled machine tool system component fault rate modeling under fault rate correlation; and 7) establishing a numerically-controlled machine tool component reliability dynamic importance model and a core importance model, and carrying out component importance analysis. The method is more reasonable and practical compared with a conventional system component fault rate modeling method, which fails to give consideration to fault time correlation or fault propagation direction.

Description

technical field [0001] The invention belongs to the technical field of numerical control machine tools, and relates to a method for analyzing the importance of components of a numerical control machine tool, in particular to analysis of fault causes, establishment of a directed graph of fault transmission, modeling of failure rates of system components based on time correlation, and calculation of fault correlation coefficients between components , Based on failure rate-related component failure rate modeling and dynamic importance and core importance modeling, on this basis, component importance analysis is carried out to determine the key components that affect system reliability and the important components that improve system reliability. Background technique [0002] CNC machine tools are complex systems, and the complexity of the system structure causes their fault chains; at the same time, in the use of CNC machine tools, the failure of each CNC machine tool component ...

Claims

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Application Information

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IPC IPC(8): G05B19/408
Inventor 申桂香曾文彬张英芝陈炳锟郑玉彬王志琼
Owner JILIN UNIV
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